This paper reconsiders intelligence from a vision-centered perspective and examines whether intelligence emerging from visual experience and learning may provide a pathway toward AGI. In the language domain, beginning with the introduction of the Transformer architecture, the GPT series has demonstrated transfer to uns...
Hirokatsu Kataoka, Yoshihiro Fukuhara, Yonglong Tian et al.· 0 citations
This work introduces MissionBench, a benchmark for mission-level evaluation of MLLMs in aerial 3D environments, and shows that mission-level competence requires coordinating multiple capabilities beyond spatial perception, including multi-step planning and adaptive reasoning.
Suman Navaratnarajah, Taehyoung Kim, Jona Ruthardt et al.· arXiv.org· 0 citations
This work proposes a framework for detailed object-level reasoning across multiple objects with three components: MO3D, an instruction dataset requiring fine-grained multi-object comparison; Multi-3DLLM, using a minimal Patch-Interaction Transformer (PIT) that models inter-/intra-object relationships while preserving l...
K. Ide, Ryousuke Yamada, Yue Qiu et al.· 2026 IEEE/CVF Conference on...· 1 citation· ⚡1
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